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Advanced
Artificial Intelligence & Machine Learning
en
Agentic System Design
Educative
Platform
· Washington, USA
About this course
Learn to design the next generation of AI systems by mastering agentic system design. This course covers the architectures and strategies behind autonomous AI agents that can perceive, reason, plan, and act in complex, real-world environments. You will analyze core agent components, integrate perception, reasoning, memory, and actions, apply orchestration patterns for single and multi-agent systems, and design trustworthy agents with guardrails and human oversight. Through real-world case studies like MACRS, NVIDIA Eureka, multimodal web agents, and MuLan, you’ll gain practical, industry-informed patterns to build resilient, scalable, and effective agentic AI systems that go beyond simple prompting into reliable autonomous behavior.
Prerequisite Skills
Skills you should have before taking this course
Python
Deep Learning
Large Language Models
machine learning fundamentals
Software engineering basics
Skills Gained
Skills you will develop by completing this course
AI agents
Agentic system design
Autonomous AI systems
LangChain
AutoGen
Multi-agent orchestration
Reinforcement learning reward design
Guardrails and AI safety